Jonas Peters

Jonas Peters

Københavns Universitet

H-index: 36

Europe-Denmark

About Jonas Peters

Jonas Peters, With an exceptional h-index of 36 and a recent h-index of 35 (since 2020), a distinguished researcher at Københavns Universitet, specializes in the field of Causality, Statistics, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

The Causal Chambers: Real Physical Systems as a Testbed for AI Methodology

Invariant Subspace Decomposition

Causal Change Point Detection and Localization

Package ‘pcalg’

Effect-Invariant Mechanisms for Policy Generalization

Invariant policy learning: A causal perspective

Boosted control functions

Identifying representations for intervention extrapolation

Jonas Peters Information

University

Position

Professor of Statistics

Citations(all)

11498

Citations(since 2020)

9374

Cited By

4978

hIndex(all)

36

hIndex(since 2020)

35

i10Index(all)

53

i10Index(since 2020)

51

Email

University Profile Page

Københavns Universitet

Google Scholar

View Google Scholar Profile

Jonas Peters Skills & Research Interests

Causality

Statistics

Machine Learning

Top articles of Jonas Peters

Title

Journal

Author(s)

Publication Date

The Causal Chambers: Real Physical Systems as a Testbed for AI Methodology

arXiv preprint arXiv:2404.11341

Juan L Gamella

Jonas Peters

Peter Bühlmann

2024/4/17

Invariant Subspace Decomposition

arXiv preprint arXiv:2404.09962

Margherita Lazzaretto

Jonas Peters

Niklas Pfister

2024/4/15

Causal Change Point Detection and Localization

arXiv preprint arXiv:2403.12677

Shimeng Huang

Jonas Peters

Niklas Pfister

2024/3/19

Package ‘pcalg’

Markus Kalisch

Alain Hauser

Martin Maechler

Diego Colombo

Doris Entner

...

2024/2/12

Effect-Invariant Mechanisms for Policy Generalization

Journal of Machine Learning Research

Sorawit Saengkyongam

Niklas Pfister

Predrag Klasnja

Susan Murphy

Jonas Peters

2024

Invariant policy learning: A causal perspective

IEEE transactions on pattern analysis and machine intelligence

Sorawit Saengkyongam

Nikolaj Thams

Jonas Peters

Niklas Pfister

2023/1/3

Boosted control functions

arXiv preprint arXiv:2310.05805

Nicola Gnecco

Jonas Peters

Sebastian Engelke

Niklas Pfister

2023/10/9

Identifying representations for intervention extrapolation

arXiv preprint arXiv:2310.04295

Sorawit Saengkyongam

Elan Rosenfeld

Pradeep Ravikumar

Niklas Pfister

Jonas Peters

2023/10/6

Model-based causal feature selection for general response types

arXiv preprint arXiv:2309.12833

Lucas Kook

Sorawit Saengkyongam

Anton Rask Lundborg

Torsten Hothorn

Jonas Peters

2023/9/22

Statistical testing under distributional shifts

Journal of the Royal Statistical Society Series B: Statistical Methodology

Nikolaj Thams

Sorawit Saengkyongam

Niklas Pfister

Jonas Peters

2023/7

Unfair Utilities and First Steps Towards Improving Them

arXiv e-prints

Frederik Hytting Jørgensen

Sebastian Weichwald

Jonas Peters

2023/6

Structure learning for directed trees

Journal of Machine Learning Research

Martin E Jakobsen

Rajen D Shah

Peter Bühlmann

Jonas Peters

2022

Invariant ancestry search

Phillip B Mogensen

Nikolaj Thams

Jonas Peters

2022/6/28

Distributional robustness of K-class estimators and the PULSE

The Econometrics Journal

Martin Emil Jakobsen

Jonas Peters

2022/5

Conditional independence testing in Hilbert spaces with applications to functional data analysis

Journal of the Royal Statistical Society Series B: Statistical Methodology

Anton Rask Lundborg

Rajen D Shah

Jonas Peters

2022/11

Toward causal inference for spatio-temporal data: conflict and forest loss in colombia

Journal of the American Statistical Association

Rune Christiansen

Matthias Baumann

Tobias Kuemmerle

Miguel D Mahecha

Jonas Peters

2022/4/3

Identifiability of sparse causal effects using instrumental variables

Niklas Pfister

Jonas Peters

2022/8/17

Identifying causal effects using instrumental time series: Nuisance iv and correcting for the past

arXiv preprint arXiv:2203.06056

Nikolaj Thams

Rikke Søndergaard

Sebastian Weichwald

Jonas Peters

2022/3/11

Learning by doing: Controlling a dynamical system using causality, control, and reinforcement learning

Sebastian Weichwald

Søren Wengel Mogensen

Tabitha Edith Lee

Dominik Baumann

Oliver Kroemer

...

2022/7/20

Causal models for dynamical systems

Jonas Peters

Stefan Bauer

Niklas Pfister

2022/2/28

See List of Professors in Jonas Peters University(Københavns Universitet)

Co-Authors

H-index: 65
Susan Murphy

Susan Murphy

Harvard University

H-index: 55
Kun Zhang

Kun Zhang

Carnegie Mellon University

H-index: 54
Pradeep Ravikumar

Pradeep Ravikumar

Carnegie Mellon University

H-index: 51
Jakob Zscheischler

Jakob Zscheischler

Universität Bern

H-index: 50
David Sontag

David Sontag

Massachusetts Institute of Technology

H-index: 35
Joris M. Mooij

Joris M. Mooij

Universiteit van Amsterdam

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